Add Gemma 3 12B Claude reasoning Gradio app

app.py

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+import gradio as gr
+from transformers import AutoModelForCausalLM, AutoTokenizer
+import torch
+
+model_name = "reedmayhew/claude-3.7-sonnet-reasoning-gemma3-12B"
+
+# تحميل التوكنيزر والموديل
+tokenizer = AutoTokenizer.from_pretrained(model_name)
+model = AutoModelForCausalLM.from_pretrained(model_name, torch_dtype=torch.float16).to("cuda")
+
+def generate_text(prompt):
+    inputs = tokenizer(prompt, return_tensors="pt").to("cuda")
+    outputs = model.generate(**inputs, max_new_tokens=100)
+    return tokenizer.decode(outputs[0], skip_special_tokens=True)
+
+iface = gr.Interface(fn=generate_text, inputs="text", outputs="text", title="Gemma 3 12B Claude Reasoning")
+
+if __name__ == "__main__":
+    iface.launch()

requirements.txt

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+transformers
+torch
+gradio